Validating land change models based on configuration disagreement
In: Computers, Environment and Urban Systems, Band 77, S. 101366
8 Ergebnisse
Sortierung:
In: Computers, Environment and Urban Systems, Band 77, S. 101366
In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 55, Heft 1, S. 159-170
ISSN: 1432-1009
In: Computers, Environment and Urban Systems, Band 74, S. 114-125
In: Land use policy: the international journal covering all aspects of land use, Band 49, S. 1-10
ISSN: 0264-8377
In: ISPRS journal of photogrammetry and remote sensing: official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), Band 101, S. 310-322
ISSN: 0924-2716
In: ISPRS journal of photogrammetry and remote sensing: official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), Band 74, S. 110-121
ISSN: 0924-2716
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 19, Heft 3
ISSN: 1708-3087
Individuals, communities, and societies ascribe a diverse array of values to landscapes. These values are shaped by the aesthetic, cultural, and recreational benefits and services provided by those landscapes. However, across the globe, processes such as urbanization, agricultural intensification, and abandonment are threatening landscape integrity, altering the personally meaningful connections people have toward specific places. Existing methods used to study landscape values, such as social surveys, are poorly suited to capture dynamic landscape-scale processes across large geographic extents. Social media data, by comparison, can be used to indirectly measure and identify valuable features of landscapes at a regional, continental, and perhaps even worldwide scale. We evaluate the usefulness of different social media platforms—Panoramio, Flickr, and Instagram—and quantify landscape values at a continental scale. We find Panoramio, Flickr, and Instagram data can be used to quantify landscape values, with features of Instagram being especially suitable due to its relatively large population of users and its functional ability of allowing users to attach personally meaningful comments and hashtags to their uploaded images. Although Panoramio, Flickr, and Instagram have different user profiles, our analysis revealed similar patterns of landscape values across Europe across the three platforms. We also found variables describing accessibility, population density, income, mountainous terrain, or proximity to water explained a significant portion of observed variation across data from the different platforms. Social media data can be used to extend our understanding of how and where individuals ascribe value to landscapes across diverse social, political, and ecological boundaries.
BASE